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Modeling rare events. Discovering reaction pathways, slow variables, and committor probabilities with machine learning
Presenter
- Christophe Chipot
April 26, 2024
IMSI
Jan Janssen - pyiron – Rapid-prototyping and Up-scaling Workflows for the Exascale - IPAM At UCLA
Presenter
- Jan Janssen
May 1, 2023
IPAM
Understanding Neural Network Expressivity via Polyhedral Geometry
Presenter
- Christoph Hertrich
April 26, 2023
ICERM
Ivan Oleynik - Materials at Extremes: Discovery Science with Exascale Computers and Experiment
Presenter
- Ivan Oleynik
March 31, 2023
IPAM
Aaron Roth - Individual Probability, Reference Class Problem, Model Multiplicity, Reconciling Belief
Presenter
- Aaron Roth
July 20, 2022
IPAM
Feature purification: How adversarial training can perform robust deep learning
Presenter
- Yuanzhi Li
March 16, 2020
IAS
Is non-convex optimization really hard? A couple of recent stories
Presenter
- Emmanuel Candès
September 26, 2018
IPAM
Addressing Complexity in Computational Catalyst Design with Surrogate Models
Presenter
- Zachary Ulissi
October 31, 2017
IPAM
Information Geometry: From Divergence Function to Metric, Equiaffine, Symplectic, and Kahler Structures on a Manifold
Presenter
- Jun Zhang
October 28, 2013
IMA
Optimizing Building Operations in the Presence of Occupant-Driven Uncertainty and Grid Feedback
Presenter
- Gregor Henze
June 13, 2013
IMA